利用人工智能和网络之间的协同作用,构建下一代边缘网络

Sen Lin, Ming Shi, A. Arora, Raef Bassily, E. Bertino, C. Caramanis, K. Chowdhury, E. Ekici, A. Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, J. Kurose, Yitao Liang, Zhiqiang Lin, Jia Liu, M. Liu, T. Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, S. Parthasarathy, Chunyi Peng, H. Seferoglu, N. Shroff, S. Shakkottai, K. Srinivasan, Ameet Talwalkar, A. Yener, Lei Ying
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引用次数: 0

摘要

网络和人工智能(AI)是过去几十年来最具变革性的两种信息技术。基于这两种强大技术的协同作用,我们设想设计出高效、可靠、健壮和安全的下一代边缘网络。为此,在本文中,我们深入研究了跨越两个主要广泛和共生领域的有趣和基础研究挑战和机遇:面向网络的人工智能和面向人工智能的网络。前者涉及能够实现下一代人工智能辅助网络的新人工智能工具和技术的开发;而后者则专注于开发网络技术和工具,以促进分布式智能的愿景,从而形成一个良性的研究循环,其中一个领域的进步将有助于加速另一个领域的进步。广泛的应用将进一步讨论,以说明在这两个领域发展的基础进展的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks
Networking and Artificial Intelligence (AI) are two of the most transformative information technologies over the last few decades. Building upon the synergies of these two powerful technologies, we envision designing next generation of edge networks to be highly efficient, reliable, robust and secure. To this end, in this paper, we delve into interesting and fundamental research challenges and opportunities that span two major broad and symbiotic areas: AI for Networks and Networks for AI. The former deals with the development of new AI tools and techniques that can enable the next generation AI-assisted networks; while the latter focuses on developing networking techniques and tools that will facilitate the vision of distributed intelligence, resulting in a virtuous research cycle where advances in one will help accelerate advances in the other. A wide range of applications will be further discussed to illustrate the importance of the foundational advances developed in these two areas.
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